The present invention provides a webpage search-based merchant evaluation and recommendation system and method. The method comprises: acquiring e-commerce data from e-commerce platforms; parsing the e-commerce data of the e-commerce platforms, and creating a commodity type list according to commodity type keywords; acquiring related merchant webpages from a search engine website; according to a node keyword of the commodity type list, searching among the related merchant webpages, and associating the related merchant webpages found with nodes corresponding to the node keyword; according to the related merchant webpages found, scoring each commodity of the commodity type list; and when a user queries a corresponding commodity by means of a client, recommending the commodity having the highest score to the user, and displaying same on the client of the user. The present invention can perform a big data analysis of e-commerce data, thereby facilitating users in finding corresponding commodities, saving user query time.
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